Molecular characterization of Poonchi sheep

Title: Molecular characterization of Poonchi sheep

Authors: PM Azhar, D Chakraborty, D Kumar, Anamika, Tanveer A Sofi, N Kumar and RK Taggar

Source: Ruminant Science (2017)-6(2):231-236.

Cite this reference as: Azhar PM, Chakraborty D, Kumar D, Anamika, Sofi TA, Kumar N and Taggar RK (2017). Molecular characterization of Poonchi sheep. Ruminant Science 6(2):231-236.


The present study on molecular characterization of Poonchi sheep was carried out on 30 unrelated Poonchi sheep by using six microsatellite markers namely MAF70, SPS113, OarFCB128, OarFCB48, BM1329 and MAF209. PCR amplifications were performed with some modifications and PCR products were run on 8% Urea-PAGE. Genotyping was done by visualizing the bands. Microsatellite data were analyzed by using molecular biology software program (POPGENE). A total of 31 alleles were observed by six microsatellite markers in Poonchi sheep. The Chi-square test revealed a non-significant effect of different genotypes for Hardy-Weinberg Equilibrium. The mean observed (na) and expected (ne) number of alleles in the population were 5.17±0.75 and 3.98±0.58, respectively. The Shannon’s information index (I) were 1.25, 1.42, 1.51, 1.54, 1.66 and 1.45, respectively for MAF70, SPS113, OarFCB128, OarFCB48, BM1329 and MAF209 markers. The average expected heterozygosity ranged from 0.68 (MAF70) to 0.79 (BM1329). A broad variation was found in FIS value among different loci ranging from -0.22 (MAF90) to 0.50 (OarFCB128). Out of 31 alleles observed in the Poonchi sheep population 22 alleles showed negative FIS values. In the Ewens-Watterson Test for neutrality of microsatellite loci the mean value was ranged from 0.28±0.01 (BM1329) to 0.42±0.01 (MAF70). From the present study it can be concluded that microsatellite markers can be successfully used for genetic characterization of Poonchi sheep with substantial genetic variation and all the loci under study were (100%)  polymorphic in Poonchi sheep.


19th Livestock Census (2012). Department of Dairy, Animal Husbandry and Fishery, Govt. of India, New Delhi.

Ahmed Z, Babar ME, Hussain T, Nadeem A, Awan FI, Wajid A, Shah SA and Ali MM (2014). Genetic diversity analysis of Kail Sheep by using microsatellite markers. Journal of Animal and Plant Sciences 24(5):1329-1333.

Arora R, Bhatia S and Jain A (2010). Morphological and genetic characterization of Ganjam sheep. Animal Genetic Resources 46:1-9.

Bai JY, Yang YB, Wang YQ, Zhang XH and Pang YZ (2015). Polymorphism analysis of three Chinese indigenous sheep breeds by microsatellite markers. Indian Journal of Animal Research 49(5):585-590.

Botstein D, White RL, Skolnick M and Davis RW (1980). Construction of a genetic linkage map in man using restriction fragment length polymorphisms. American Journal of Human Genetics 32:314-331.

Ewens WJ (1972). The sampling theory of selectively neutral alleles. Theoretical Population Biology 3:87-112.

FAO (1995). Global Project for the Maintenance of Domestic Animal Genetic Diversity (MoDAD): Draft Project Formulation Report, Rome.

Halim NM, Farouk R and Al-kudsi BJ (2015). Evaluating hereditary differences of Hamdani sheep breed in Kurdistan area of Iraq utilizing microsatellite markers. International Journal of Animal Breeding and Genetics 2(2):75-81.

Hoda A and Marsan PA (2012). Genetic Characterization of Albanian Sheep Breeds by Microsatellite Markers. pdf

Kavitha ST, Subramanian A, Sivaselvam SN, Thiagarajan R and Balasubramanian S (2015). Genetic characterisation of Tiruchy Black sheep of Tamil Nadu using microsatellite markers. Indian Journal of Animal Research 49(3):320-324.

Kimura M and Crow JF (1964). The number of alleles that can be maintained in a finite population. Genetics 49:725-738.

Kumar D, Sharma R, Pandey AK, Gour DS, Malik G, Ahlawat SPS and Jain A (2007). Genetic diversity and bottleneck analysis of Indian Bellary sheep by microsatellite markers. Russian Journal of Genetics 43(9):996-1005.

Lewontin RC (1972). The apportionment of human diversity. Evolutionary Biology 6:381-398.

Musthafa MM, Aljummah RS and Alshaik MA (2012). Genetic diversity of Najdi sheep based on  microsatellite analysis. African Journal of Biotechnology 11(83):14868-14876.

Nei M (1973). Analysis of gene diversity in subdivided populations. Proceedings of the National Academy of Sciences, USA, 70:3321-3323.

Radha P, Sivaselvam SM, Kumarasamy P and Kumanan K (2011). Genetic diversity and bottleneck analysis of Kilakarsal sheep by microsatellite analysis. Indian Journal of Biotechnology 10:52-55.

Selvam R, Rahumathulla PS, Sivaselvam SN, Karthickeyan SMK and Rajendran R (2009). Molecular genetic characterization of Madras red sheep in Tamil Nadu, India using microsatellite markers. Livestock Reaserch for Rural Development 21(4).

Watterson GA (1977). Heterosis or neutrality? Genetics, 85:789-814.

Wright S (1978). Evolution and the Genetics of Populations, vol. 4: Variability within and among Natural Populations,Chicago: Chicago Univ. Press.

Yeh FC, Yang RC et al, POPGENE Version 1.32: The User-Friendly Shareware for Population Genetic Analysis, Molecular Biology and Biotechnology Centre, Univ. Alberta (Canada); 1999,